Understanding flow through the valve is essential in optimum valve design. CFD helps in predicting the valve performance and gives a good insight into the flow physics. This involves a series of CFD simulations for different valve openings (minimum to maximum) and calculates the Cv value at each condition. With the emergence of cloud computing, virtual testing of designs and performance optimization has become possible through a cloud-based CFD app, with a reduced need for producing physical prototypes.

The current technology preview demonstrates an array of 210 CFD simulations performed for an indoor office space with multiple rooms. It presents the ability of the app to provide comparative occupant thermal plots such as PMV & PPD for different air-side systems and seasonal requirements throughout the year.

In this webinar, we introduced the Autonomous HVAC CFD app to the participants and presented a live demonstration of the technology preview.

Conducted on Thursday, March 5th 2020

Webinar 1 : Demo and guidelines for valve designers

Team IVDC conducted a webinar for the participants and aspiring valve designers of IVDC 2019. The webinar provided a LIVE demo of Autonomous Valve CFD app to the competition participants and guided for all their queries.

Conducted on Thursday, November 14th 2019

Webinar 2 : Discussion on participant issues and queries

It's been an amazing response from IVDC-2019 participants so far. Answering the genuine questions from valve designers and students, team IVDC came up with the live Q&A session inclusive of the app demo for the participants.

Conducted on Thursday, November 28th 2019

Artificial Intelligence (AI) is used to create a generative design based software that can help us design multi-objective optimized valves. The software uses AI to instantly generate a valve design for a desired flow performance requirement.

We are living in a world where Machine Learning has become and becoming root in various fields. A lot of people are interested in learning how to apply machine learning to solve their problems. CCTech has been working in Machine Learning from the last couple of years with our focus on how we can use Machine Learning in Valve Design. We have successfully implemented Machine Learning in Valve designing by using experimental or numerical data generated from simulationHub's Valve CFD application. We would like to share how we have developed valve design app for common control valves and Butterfly Valve using our Machine Learning expertise. We are delighted to demonstrate how we can provide you with the best design for required flow performance using generative design.

Conducted on Thursday, August 1st 2019

Torque is an essential parameter in the design of rotary valves such as butterfly valves, ball valves, plug valves etc. It plays an important role in the actuator selection in case of motor operated valves. Hydrodynamic torque or simply dynamic torque has a significant share of the total torque the valve shaft has to undergo during valve operation. Understanding the effect of dynamic torque and its variation with the opening percentage of the valve can give designers a better insight into crucial design improvements for torque reduction in their valve design.

Autonomous Valve CFD (AVC) is a CFD application that runs from your web browser. It predicts the performance of control valves using fluid flow simulations. The app predicts the coefficient of hydrodynamic torque for all the opening percentages for your control valve design and generates a curve illustrating the nature of variation of the torque coefficient.

In this webinar, understand how simulationHub helps in predicting and analyzing the hydrodynamic torque in different types of rotary valves.